Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	F3972ECC5055016D4EB99CD77C361CC4
PackageArch	armv5tel
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	0586AFA2243CD67F3690A9102E048C5E05CB3ACF
SHA-256	EEF1EEA9E457544EB923012B5238A9AD80F31CC769D06FB86C2B7EAD4632F7DE

Key	Value
MD5	B07E2281A03035A701C5EA61C7C4016C
PackageArch	ppc
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Koji
PackageName	python3-numpy
PackageRelease	2.fc17
PackageVersion	1.6.1
SHA-1	0E0FE784D3D217F9D72D444E17AE47A274653074
SHA-256	2C4AD94501D7176201A8A3BDBC115D750ADB40138968A1652D7CC6CB123FA58D

Key	Value
MD5	42341D71F23F1D15DD244B01BA94D277
PackageArch	s390
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	numpy
PackageRelease	2.fc17
PackageVersion	1.6.1
SHA-1	1D38A8960B145DE67C2CE623C7ABAFC96F9976E0
SHA-256	871450E3D2EF3F020355D7A6BB2B465DEC85045F1468A9AC10926C4F0D4187E4

Key	Value
MD5	D8318AC83ECC4F0CC4C2FC91195F8BF0
PackageArch	ppc
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Koji
PackageName	python3-numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	2D0FE5D0BEE036A26F640DC6C2A4F87A8FF39477
SHA-256	7F00D0B527D6C3AAD5581C11CD2C3B41606B1389CCA8C9616578B5FB9973132E

Key	Value
MD5	D3E86F64D5080FCD9FBC832D842C14D7
PackageArch	armv5tel
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	python3-numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	40DB4473179D7FD20EDC608B6A6DE20772EA1AD6
SHA-256	38E6C5C275C71F31F2806B24A091C0F130C9F51E76172176E412116769CFB6B5

Key	Value
MD5	BF2D31D6044C128428FEF7219359FC46
PackageArch	s390
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	5E8D035948CDE1DD0F587D9DDF5D124467735C71
SHA-256	64AD5B0C017B339864CE3704E46BAC3E873DC10A6CA080E81D32876EF729EF65

Key	Value
MD5	7853923DED2824B65560486EE4401080
PackageArch	armv7hl
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	7A8E19F6D5635D6E26B64DCA5F302652B3F6709F
SHA-256	B7F7EE39977EA302F9FB417464AB5C774339FB756F2D3AE7B0891763F9CC6124

Key	Value
MD5	1C21B72F9FFDFCED2A5F1069B9FBB70D
PackageArch	armv5tel
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	python3-numpy
PackageRelease	2.fc17
PackageVersion	1.6.1
SHA-1	90F8083441CA6F64B00270DE397A8747CBD839C3
SHA-256	EF7053A77744EF965CB66CB2F091B16670F250B8218D40DE2468C7EC08F94048

Key	Value
MD5	EFE6D01DBE05652ABDD315B84FEC2045
PackageArch	armv7hl
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	numpy
PackageRelease	2.fc17
PackageVersion	1.6.1
SHA-1	A6170E6CD71DA3BEBAEFA13A2916211AD0D39FDF
SHA-256	D17ABDD3C93F8D8F223337554034F4164571B1E94D8469828031EB3D53BE92C3

Key	Value
MD5	421DD163A6995289A0BB603744FAF2C7
PackageArch	ppc
PackageDescription	NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Koji
PackageName	numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	AFE688F3DCE135533999108CB3BAA02B62DE52FE
SHA-256	3687501B6716E9214FDF72EFF29CF06C27CA952B35548D1BA6BC9BE4D74B19D1